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and apply advanced computational techniques related to statistical genetics, algorithm design, machine learning, artificial intelligence, and knowledge graph construction, data visualization, and/or
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aims to develop and test novel CAR-redirected immunotherapy for pediatric solid tumors. In particular, a CRISPR/Cas9-based mutagenesis screen will be applied to discover and therapeutically target novel
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teaching sessions. Expertise with physiologic signal processing in time series (in particular, ECG waveforms) and their direct application/translation to machine learning models. Experience leading an NIH
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tools in a multidisciplinary team to design, develop, and create analytical solutions through applications of data mining, machine learning, artificial intelligence (AI), and emerging technologies
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of Medicine in Houston, Texas is seeking applicants for a full‐time position as Assistant Professor in the School of Health Professions (SHP) to teach graduate-level foundational science courses for health
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collaborative team. Strong communication skills, both written and verbal, with the ability to convey complex scientific ideas to a diverse audience. Experience with machine learning and/or statistical modeling